SwissGPU vs Vultr: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for SwissGPU and Vultr. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

SwissGPU

Vultr

Provider type

Specialist

Founded

2022

2014

Headquarters

Switzerland

Matawan, NJ

Billing model

Per-minute (bare metal)

On-demand (hourly)

Min commitment

None

Support tier

Standard

Basic → Enterprise

Regions

1 regions

5 regions

Strengths & Best For

SwissGPU

SwissGPU rents full dedicated physical machines (bare metal) in Switzerland, giving customers exclusive access to the hardware over SSH with no hypervisor overhead. Billing is per minute and stops the moment the server is powered off, with electricity metered separately at CHF 0.30/kWh. The catalog covers consumer and prosumer NVIDIA RTX cards — from the RTX 3090 and RTX 4080 through the RTX 5090 and up to the RTX PRO 6000 (96GB VRAM) — making it a practical choice for teams that want dedicated Swiss hardware for AI training, rendering, or compute workloads without sharing resources with other tenants. All machines include NVMe SSD storage and network at no extra charge. Prices are published in CHF; USD equivalents on this page are approximate conversions at ~1.13.

Strengths

Bare-metal dedicated hardware
Per-minute billing
Swiss data sovereignty
No hypervisor overhead
NVMe SSD & network included
RTX PRO 6000 with 96GB VRAM

Weaknesses

Electricity billed separately
Consumer/prosumer GPU tier only
Small provider — limited scale
No managed platform or containers

Best For

Dedicated GPU workloadsSwiss/EU data residencyTeams needing full machine accessHigh-VRAM inference (RTX PRO 6000)

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Vultr

Vultr offers H100, A100, L40S, RTX 6000 Ada, and RTX 4000 Ada GPU instances across 32 global locations with simple hourly billing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward pricing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. Vultr Cloud GPU instances include dedicated VRAM, NVMe storage, and generous transfer allowances. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.

Strengths

32 global locations — wide geographic coverage among specialist GPU clouds
Simple hourly billing — no long-term commitment
H100, A100, L40S, RTX 6000/4000 Ada in catalog
Clean API and developer-friendly onboarding
Generous transfer allowances included

Weaknesses

Smaller GPU catalog than specialist AI clouds
Less ML-focused tooling vs CoreWeave or Lambda
Limited spot/preemptible GPU options

Best For

Global deployment of AI workloadsSimple inference and training workloadsDeveloper-friendly teams wanting simple billingTeams needing GPU capacity in emerging regions

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